Michele Tassoni

• Product matching and classification with supervised machine leaning techniques • Performed creation and optimization of python scripts finalised to the gathering, processing and classification of competitor product data using numerical, text and imagery features. • Developed competitor product matching machine learning pipeline for the German and United Kingdom markets • Directly involved and unique responsible for the relationships with business stakeholders and engineering partners

• Automated image processing and data analysis in the context of high content screening • Supervised and unsupervised machine learning techniques finalised to cluster and classify multivariate cellular phenotypic profiles • Developed data integration pipelines to collect relevant biological and chemical data from public chemical databases (PubChem, ChEMBL, etc). • NoSQL database design, development and maintenance, for biological and chemical data storage.

Involved in all production steps ranging from the cultivation and harvest of the raw material (kiwi fruit, grapes, olives to selling the finished products (kiwi fruit, wine, olive oil)

Image and data analysis in the fields of high content screening, computational biology and drug discovery

Specialism in natural products, biochemistry, pharmacology, cell biology

• Mathematics, physics, statistics, informatics • Diploma thesis: "Hydrological investigation and characterization, both desk and field work of carbonate-rock aquifers finalized to the conservation and management of the water resource" • G.I.S. software: ArcView, ArcGIS